Selection of battery suppliers for new energy vehicles by an integrated model based on D numbers

Article type: Research Article

Authors: Fan, Jianping | Fang, Wenting | Wu, Meiqin^{; *}

Affiliations: School of Economics and Management, Shanxi University, Taiyuan, China

Correspondence: [*] Corresponding author. Meiqin Wu, School of Economics and Management, Shanxi University, Taiyuan 030006, China. E-mail: wmq80@sxu.edu.cn.

Abstract: In order to cope with increasingly severe environmental problems, the development of new energy vehicles has been strongly supported. The rapid development of new energy vehicles has led to the development of power batteries. It is vital to choose the appropriate new energy vehicle battery which is the power source of the new energy vehicles. This paper proposes a new model based on D numbers, which combines the Best-worst method (BWM) and Evaluation based on Distance from Average Solution (EDAS) method. First, in order to express the uncertainty of expert decision-making, this paper uses D number to describe the evaluation information. Then the D-BWM model is applied to determine the weight of the given criteria. Next, the D-EDAS model is constructed for the selection of new energy vehicle battery suppliers. The results show that this newly proposed model is reasonable. Finally, the validity and robustness of the model in this paper are demonstrated through sensitivity analysis.

Keywords: D numbers, BWM, EDAS, new energy vehicles, battery suppliers

DOI: 10.3233/JIFS-220001

Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 3293-3309, 2022